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Data Collection Engineer Jobs in California (NOW HIRING)

AutoRoboto

Data Engineer

Mountain View, CA · On-site

$136K - $163K/yr

AutoRoboto provides mechanical engineering, manufacturing consulting, hardware, software QA testing, and data collection services. Founded in 2015, the company is headquartered in San Francisco, USA ...

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data ... Document data collection methodologies, dataset characteristics, and pipeline architecture clearly ...

Institute of Foundation Models

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data ... Document data collection methodologies, dataset characteristics, and pipeline architecture clearly ...

AutoRoboto

Data Analysts

Mountain View, CA · On-site

AutoRoboto provides mechanical engineering, manufacturing consulting, hardware, software QA testing, and data collection services. Founded in 2015, the company is headquartered in San Francisco, USA ...

Apple

Data Engineer

Cupertino, CA

$126K - $220K/yr

The Data Engineering team within the MGC organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team ...

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134K - $161K/yr

Engineers will write data collection scripts, aggregation algorithms, and implement storage technologies that power our internal business intelligence operations. Candidates are expected to be ...

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134K - $161K/yr

Engineers will write data collection scripts, aggregation algorithms, and implement storage technologies that power our internal business intelligence operations. Candidates are expected to be ...

Mento

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

Work closely with product on instrumentation and data collection. You\'ll collaborate with product ... You have strong data engineering fundamentals. You\'re experienced with SQL, Python, and building ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering ... Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

Apple

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The Data Engineering team within the MGC organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team ...

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All JobsData Collection Engineer JobsData Collection Engineer Jobs in California

Data Collection Engineer information

See California salary details

$50.8K

$145.5K

$194.4K

How much do data collection engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data collection engineer in California is $145,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $193,400.00 per year, depending on experience, location, and employer.

What are some common challenges Data Collection Engineers face when gathering and managing large-scale datasets?

Data Collection Engineers frequently encounter challenges such as ensuring data quality and consistency across various sources, managing the volume and velocity of incoming data, and handling data privacy or compliance concerns. They must also design robust pipelines that can scale as data needs grow, and often collaborate with data scientists, software engineers, and product teams to align data collection strategies with project goals. Regularly troubleshooting data ingestion errors and adapting to changing data requirements are also key parts of the role.

What is the difference between Data Collection Engineer vs Data Analyst?

AspectData Collection EngineerData Analyst
Primary FocusDesigning and implementing data collection systems and pipelinesAnalyzing and interpreting data to support business decisions
Skills & CertificationsData engineering, SQL, programming (Python, Java), data architectureStatistical analysis, data visualization, SQL, Excel
Work EnvironmentData engineering teams, IT infrastructure, cloud platformsBusiness units, analytics teams, reporting tools

While Data Collection Engineers focus on building and maintaining data pipelines and infrastructure, Data Analysts interpret the collected data to generate insights. Both roles often collaborate but serve different stages of the data lifecycle, with the engineer ensuring data availability and the analyst deriving actionable insights.

What are Data Collection Engineers?

Data Collection Engineers are professionals who design, implement, and maintain systems for gathering data from various sources. Their work involves creating pipelines to collect, store, and preprocess data, often in support of analytics, machine learning, or business intelligence projects. They work closely with data scientists and software engineers to ensure data quality and reliability. Data Collection Engineers may use a range of tools and technologies, such as APIs, web scraping frameworks, and database management systems, to automate and optimize data acquisition processes.

Is AI replacing data engineers?

AI is transforming the role of data collection engineers by automating certain tasks such as data preprocessing and integration, but it does not fully replace the need for human expertise in designing data pipelines, managing data quality, and ensuring security. Data engineers continue to be essential for building and maintaining the infrastructure that supports AI and machine learning systems. Skills in programming, database management, and cloud platforms remain critical in this evolving field.

What engineers make $500,000?

Senior data collection engineers or related roles in data engineering and analytics can reach salaries of $500,000 or more, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. These high salaries are often found in large tech companies, finance, or specialized industries where data infrastructure is critical. Compensation may include base salary, bonuses, and stock options.

What engineers make $300,000 a year?

Senior data collection engineers, especially those with extensive experience, advanced skills in data systems, and expertise in tools like SQL, Python, or cloud platforms, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized industries, or positions requiring leadership and strategic oversight.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in building and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, data engineering is considered a well-paying profession in the tech field.

What are the key skills and qualifications needed to thrive as a Data Collection Engineer, and why are they important?

To thrive as a Data Collection Engineer, you need a solid background in computer science or engineering, experience with data acquisition, and proficiency in programming languages like Python or Java. Familiarity with data collection frameworks, APIs, sensor technologies, and cloud platforms is commonly required, along with certifications in data engineering or related fields. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting issues. These skills and qualities are important to ensure accurate, reliable, and scalable data pipelines that support critical business analytics and decision-making.
What are popular job titles related to Data Collection Engineer jobs in California? For Data Collection Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Collection Engineer jobs in California look for? The top searched job categories for Data Collection Engineer jobs in California are:
Data Collection Engineer jobs near you
Infographic showing various Data Collection Engineer job openings in California as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,530 per year, or $70 per hour.

Data Engineer

AutoRoboto

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Posted 26 days ago

Job description

Job Summary:
AutoRoboto is seeking a Data Engineer to join their talented engineering team. The role involves analyzing raw data, designing scalable prediction algorithms, and generating actionable insights to improve business processes.
Responsibilities:
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
Qualifications:
Required:
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 5 years' of experience in quantitative analytics or data modeling
• Fluency in a programming language (Python and SQL)
• Familiarity with Big Data frameworks and visualization tools such as (Cassandra, Hadoop, Spark, Tableau)
Company:
AutoRoboto provides mechanical engineering, manufacturing consulting, hardware, software QA testing, and data collection services. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

About AutoRoboto

Sourced by ZipRecruiter

Industry

Computer and electronic product manufacturing

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2015

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